rcpengnan Goto Github PK

2d-motion-retargeting

PyTorch implementation for our paper Learning Character-Agnostic Motion for Motion Retargeting in 2D, SIGGRAPH 2019

2s-agcn

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

aicamera

Demonstration of using Caffe2 inside an Android application.

alphapose

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

android-demo-app

PyTorch android examples of usage in applications

bpe

caffe

Caffe: a fast open framework for deep learning.

cocoapi

Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3

cython_bbox

standalone cython_bbox borrowed from faster-rcnn

deeplearning_demo

深度学习入门的一些简单例子

dsntnn

PyTorch implementation of DSNT

handpose

A python program to detect and classify hand pose using deep learning techniques

human-falling-detect-tracks

AlphaPose + ST-GCN + SORT.

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

lightweight-human-pose-estimation.pytorch

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmskeleton

A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.

mnn

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

mobilepose-pytorch

Light-weight Single Person Pose Estimator

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

opencv

Open Source Computer Vision Library

opencv_contrib

Repository for OpenCV's extra modules

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

pybind11

Seamless operability between C++11 and Python

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-android

[EXPERIMENTAL] Demo of using PyTorch 1.0 inside an Android app. Test with your own deep neural network such as ResNet18/SqueezeNet/MobileNet v2 and a phone camera.

realtime-action-recognition

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)

tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

tf-pose-estimation

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

videopose3d

Efficient 3D human pose estimation in video using 2D keypoint trajectories